CN107195180A - A kind of traffic trip track extraction method and device based on the alert data of electricity - Google Patents
A kind of traffic trip track extraction method and device based on the alert data of electricity Download PDFInfo
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- CN107195180A CN107195180A CN201710428942.3A CN201710428942A CN107195180A CN 107195180 A CN107195180 A CN 107195180A CN 201710428942 A CN201710428942 A CN 201710428942A CN 107195180 A CN107195180 A CN 107195180A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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Abstract
The embodiment of the present invention provides a kind of traffic trip track extraction method and device based on the alert data of electricity, obtain the point position data and the alert data of electricity of the alert equipment of pretreated electricity, then the trip route of vehicle is extracted according to the point position data of the alert equipment of pretreated electricity and the alert data of electricity, the journey time of travel speed and trip route then according to vehicle is sorted out to the trip route of vehicle, and the traffic trip track of vehicle is determined finally according to the trip route of the vehicle after classification.In the embodiment of the present invention, the traffic trip track of vehicle is extracted based on the point position data of the alert equipment of electricity and the alert data of electricity, data source is single and sample size is big, simplifies the extracting method of traffic trip track.In addition after the trip route of vehicle is extracted, trip route is sorted out, method is determined using different traffic trip tracks according to different classes of trip route, therefore obtained traffic trip track more meets actual trip scene, improves the extraction accuracy of traffic trip track.
Description
Technical field
Carried the present embodiments relate to technical field of transportation, more particularly to a kind of traffic trip track based on the alert data of electricity
Take method and apparatus.
Background technology
With the application of various advanced transport facilitys and various information-based traffic administration means, traffic base
Facility and traffic operating mode all change promptly.In this case, obtained by traditional resident trip survey
Take resident to go out the method for characteristic, no matter economically, or achievement accuracy, it is ageing on, when can not all meet new
For traffic programme and the demand of management.With continuing to develop for big data technology, the traffic data of ours at one's side is gradually presented quick-fried
How the growth trend of fried property, simply and effectively replace traditional investigation method to analyze traffic trip using traffic big data means
Track turns into the Main way of Recent study.Main in the prior art is core, global positioning system using data in mobile phone
(Global Positioning System, abbreviation GPS) data, loop data, video data are auxiliary, special to traffic trip
The extraction for carrying out data is levied, obtained data include traffic trip amount (Origin Destination abbreviation OD) data and duty
Firmly compare data.This method can complete the large-scale traffic journey characteristic data acquisition in city in a short time.But in analysis
During required for data source it is more, presently used cellphone GPS data positioning still has certain deviation, in obtaining for Trip chain
Aspect precision is taken to have much room for improvement.
The content of the invention
The embodiment of the present invention provides a kind of traffic trip track extraction method and device based on the alert data of electricity, for solving
To more than data source demand and the problem of extraction accuracy is not high in existing traffic trip track extraction method.
The embodiments of the invention provide a kind of traffic trip track extraction method based on the alert data of electricity, including：
Obtain the point position data and the alert data of electricity of the alert equipment of pretreated electricity；
The trip route of vehicle is extracted according to the point position data and the alert data of electricity of the pretreated alert equipment of electricity；
The trip route of the vehicle is entered according to the travel speed of the vehicle and the journey time of the trip route
Row is sorted out, and the journey time of the trip route is determined according to the alert data of the electricity；
The traffic trip track of the vehicle is determined according to the trip route of the vehicle after classification.
Alternatively, it is described according to the travel speed of the vehicle and the journey time of the trip route to the vehicle
Trip route is sorted out, including：
The journey time in each section on the trip route is determined according to the pretreated alert data of electricity；
The journey time of the trip route is determined according to the journey time in each section on the trip route.
Travel speed scope of the vehicle on the trip route is determined according to the journey time of the trip route；
The trip route of the vehicle is sorted out according to the travel speed of the vehicle and the travel speed scope；
Alternatively, the vehicle is gone out walking along the street by the travel speed and the travel speed scope according to the vehicle
Footpath is sorted out, including：
The travel speed of vehicle arbitrary neighborhood in the range of the travel speed and on the trip route of the vehicle
Intersection when being joined directly together, determine that the trip route of the vehicle is normal；
The travel speed of the vehicle exists adjacent in the range of the travel speed and on the trip route of the vehicle
Intersection it is indirect connected when, determine that the trip route of the vehicle has intersection missing inspection；
When the travel speed of the vehicle is less than the lower limit of the travel speed scope, determine the vehicle goes out walking along the street
There is trip separation in footpath；
When the travel speed of the vehicle is more than the higher limit of the travel speed scope, determine the vehicle goes out walking along the street
Footpath is abnormal.
Alternatively, the trip route of the vehicle according to after classification determines the traffic trip rail of the vehicle
Mark, including：
When the trip route of the vehicle is normal, the trip route of the vehicle is defined as to the traffic trip of the vehicle
Track；
When the trip route of the vehicle has intersection missing inspection, by the trip route completion of the vehicle, and it will mend
The trip route of the vehicle after complete is defined as the traffic trip track of the vehicle；
When the trip route of the vehicle has trip separation, according to the position of the trip separation by the vehicle
Trip route separated, and the trip route of the vehicle after separation is defined as to the traffic trip rail of the vehicle
Mark；
When the trip route of the vehicle is abnormal, extract the trip route of the vehicle again, and according to extracting again
Trip route determines the traffic trip track of the vehicle.
Alternatively, when there is intersection missing inspection in the trip route of the vehicle, by the trip route completion of the vehicle,
And the trip route of the vehicle after completion is defined as to the traffic trip track of the vehicle, including：
When there is intersection missing inspection between intersection R1 and intersection R2 on the trip route of the vehicle, according to
The point position data of the alert equipment of pretreated electricity carry out path between the intersection R1 and the intersection R2
Matching；
Still there is intersection leakage between the intersection R1 and the intersection R2 after route matching is carried out
During inspection, according to the point position data of the pretreated alert equipment of electricity determine the intersection R1 and intersection R2 it
Between all feasible path；
According to path distance, section quantity, journey time be consistent degree, turn inside diameter number of times from the feasible path really
Make optimal path；
Completion is carried out to the trip route of the vehicle according to the optimal path, and the trip route after completion is determined
For the traffic trip track of the vehicle.
Accordingly, the embodiment of the present invention additionally provides a kind of traffic trip trajectory extraction device based on the alert data of electricity, bag
Include：
Acquisition module, point position data and the alert data of electricity for obtaining the alert equipment of pretreated electricity；
Processing module, vehicle is extracted for the point position data and the alert data of electricity according to the pretreated alert equipment of electricity
Trip route；The trip route of the vehicle is entered according to the travel speed of the vehicle and the journey time of the trip route
Row is sorted out, and the journey time of the trip route is determined according to the alert data of the electricity；According to the vehicle after classification
Trip route determines the traffic trip track of the vehicle.
Alternatively, the processing module specifically for：
The journey time in each section on the trip route is determined according to the pretreated alert data of electricity；
The journey time of the trip route is determined according to the journey time in each section on the trip route；
Travel speed scope of the vehicle on the trip route is determined according to the journey time of the trip route；
The trip route of the vehicle is sorted out according to the travel speed of the vehicle and the travel speed scope.
Alternatively, the processing module specifically for：
The travel speed of vehicle arbitrary neighborhood in the range of the travel speed and on the trip route of the vehicle
Intersection when being joined directly together, determine that the trip route of the vehicle is normal；
The travel speed of the vehicle exists adjacent in the range of the travel speed and on the trip route of the vehicle
Intersection it is indirect connected when, determine that the trip route of the vehicle has intersection missing inspection；
When the travel speed of the vehicle is less than the lower limit of the travel speed scope, determine the vehicle goes out walking along the street
There is trip separation in footpath；
When the travel speed of the vehicle is more than the higher limit of the travel speed scope, determine the vehicle goes out walking along the street
Footpath is abnormal.
Alternatively, the processing module specifically for：
When the trip route of the vehicle is normal, the trip route of the vehicle is defined as to the traffic trip of the vehicle
Track；
When the trip route of the vehicle has intersection missing inspection, by the trip route completion of the vehicle, and it will mend
The trip route of the vehicle after complete is defined as the traffic trip track of the vehicle；
When the trip route of the vehicle has trip separation, according to the position of the trip separation by the vehicle
Trip route separated, and the trip route of the vehicle after separation is defined as to the traffic trip rail of the vehicle
Mark；
When the trip route of the vehicle is abnormal, extract the trip route of the vehicle again, and according to extracting again
Trip route determines the traffic trip track of the vehicle.
Alternatively, the processing module specifically for：
When there is intersection missing inspection between intersection R1 and intersection R2 on the trip route of the vehicle, according to
The point position data of the alert equipment of pretreated electricity carry out path between the intersection R1 and the intersection R2
Matching；
Still there is intersection leakage between the intersection R1 and the intersection R2 after route matching is carried out
During inspection, according to the point position data of the pretreated alert equipment of electricity determine the intersection R1 and intersection R2 it
Between all feasible path；
According to path distance, section quantity, journey time be consistent degree, turn inside diameter number of times from the feasible path really
Make optimal path；
Completion is carried out to the trip route of the vehicle according to the optimal path, and the trip route after completion is determined
For the traffic trip track of the vehicle.
The embodiment of the present invention shows, obtains the point position data and the alert data of electricity of the alert equipment of pretreated electricity, then basis
The point position data and the alert data of electricity of the alert equipment of pretreated electricity extract the trip route of vehicle, then according to the vehicle
Travel speed and the journey time of the trip route trip route of the vehicle is sorted out, the trip route
Journey time is determined according to the alert data of electricity, finally according to the vehicle after classification trip route determine it is described
The traffic trip track of vehicle.In the embodiment of the present invention, car is extracted based on the point position data of the alert equipment of electricity and the alert data of electricity
Traffic trip track, data source is single and sample size big, simplifies the extracting method of traffic trip track.Extracting in addition
After the trip route of vehicle, trip route is sorted out, different traffic trip rails are used according to different classes of trip route
Mark determines method, therefore obtained traffic trip track more meets actual trip scene, improves the extraction essence of traffic trip track
Degree.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, makes required in being described below to embodiment
Accompanying drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this
For the those of ordinary skill in field, without having to pay creative labor, it can also be obtained according to these accompanying drawings
His accompanying drawing.
Fig. 1 shows for a kind of flow of the traffic trip track extraction method based on the alert data of electricity provided in an embodiment of the present invention
It is intended to；
Fig. 2 is the schematic flow sheet of trip route classifying method provided in an embodiment of the present invention；
Fig. 3 is the schematic flow sheet of trip route complementing method provided in an embodiment of the present invention；
Fig. 4 is the flow of another traffic trip track extraction method based on the alert data of electricity provided in an embodiment of the present invention
Schematic diagram；
Fig. 5 shows for a kind of structure of the traffic trip trajectory extraction device based on the alert data of electricity provided in an embodiment of the present invention
It is intended to.
Embodiment
In order that the purpose of the present invention, technical scheme and beneficial effect are more clearly understood, below in conjunction with accompanying drawing and implementation
Example, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only to explain this hair
It is bright, it is not intended to limit the present invention.
Fig. 1 illustrates a kind of traffic trip trajectory extraction side based on the alert data of electricity provided in an embodiment of the present invention
The flow of method, the flow can be performed by the traffic trip trajectory extraction device based on the alert data of electricity.
As shown in figure 1, the specific steps of the flow include：
Step S101, obtains the point position data and the alert data of electricity of the alert equipment of pretreated electricity.
Step S102, walking along the street is gone out according to the alert data extraction vehicle of point position data and electricity of pretreated electricity police equipment
Footpath.
Step S103, returns according to the travel speed of vehicle and the journey time of trip route to the trip route of vehicle
Class.
Step S104, the traffic trip track of vehicle is determined according to the trip route of the vehicle after classification.
Specifically, in step S101, the alert data of electricity can be that the electricity at bayonet socket data on section or crossing is alert
Data, the alert data of electricity include license plate number, detection time, equipment point bit number, equipment point bit address, entrance driveway direction and track letter
Breath etc..The point position data of the alert equipment of electricity include the information such as equipment point bit number, equipment point bit address and longitude and latitude.It is alert obtaining electricity
, it is necessary to which point position data and the alert data of electricity to the alert equipment of electricity carry out data and located in advance after the alert data of point position data and electricity of equipment
Reason.For the alert data of electricity, the abnormal alert data of electricity are deleted, specifically deleted according to following strategy：
1st, deleted according to the license plate number length of record, retain data of the license plate number length between 7~9, remaining is deleted
Remove.
2nd, deleted according to detection number of times, the detection number of times of each license plate number is counted, retain detection number of times 2
~1000 license plate number, remaining deletion.
3rd, abnormal license plate number statistics storehouse is set up, is deleted according to common abnormal license plate number：Such as " 000000000 ",
Situations such as " 00000000 ", " 0000000 ", " pedestrian ", all-character, car plate containing " # ".
For the point position data of the alert equipment of electricity, the point position data to the alert equipment of electricity carry out completion and amendment, specifically according to
Lower strategy carries out completion and amendment：
1st, real equipment point position：Manually implantation of device position is verified, unified address writing and coding criterion are gone forward side by side
Latitude of passing through is corrected.
2nd, virtual unit point position：The alert point position of the virtual electricity of setting on without the alert intersection of electricity, and the corresponding numbering of imparting,
(numbering is not repeated without unalterable rules for location and longitude and latitude；Address and longitude and latitude can directly be inquired about on map).
In step s 102, need to be by the point digit of the alert data of electricity and the alert equipment of electricity before the trip route of vehicle is extracted
According to attributes match is carried out, it is specially：By the point position data of the alert data of electricity and the alert equipment of electricity according to equipment point bit number, equipment point position
Address is matched, and is each and is crossed corresponding latitude and longitude information on car record matching, the car data of crossing not matched is deleted
Remove.The alert data of electricity and the point position data of the alert equipment of electricity matched are first sorted out according to license plate number, when then according to detection
Between be ranked up, the point positions set for the alert equipment of all electricity that each license plate number is passed through is obtained, then according to adjacent detection time
Time difference determines all trip routes of vehicle.After the trip route for determining all vehicles, by going out for space-time track confusion
Walking along the street footpath is rejected, such as：The travel time for the alert equipment point interdigit of two neighboring electricity occur is less than theoretical minimum passing time
Trip route.Theoretical minimum passing time be vehicle with maximal rate drive through required for the alert equipment points position of two electricity when
Between.
In step S103 and step S104, the journey time in path be vehicle by the time required for certain path,
The journey time of trip route is determined according to the alert data of pretreated electricity.
In the embodiment of the present invention, the traffic trip of vehicle is extracted based on the point position data of the alert equipment of electricity and the alert data of electricity
Track, data source is single and sample size is big, simplifies the extracting method of traffic trip track.Go out walking along the street in extraction vehicle in addition
Behind footpath, trip route is sorted out, method is determined using different traffic trip tracks according to different classes of trip route, therefore
Obtained traffic trip track more meets actual trip scene, improves the extraction accuracy of traffic trip track, while method is multiple
Miscellaneous degree is low, and calculating speed is fast.
Lower mask body introduction is entered according to the travel speed of vehicle and the journey time of trip route to the trip route of vehicle
The process that row is sorted out, comprises the following steps, as shown in Figure 2：
Step S201, the journey time in each section on trip route is determined according to the alert data of pretreated electricity.
Step S202, the journey time of trip route is determined according to the journey time in each section on trip route.
Step S203, travel speed scope of the vehicle on trip route is determined according to the journey time of trip route.
Step S204, is sorted out the trip route of vehicle according to the travel speed of vehicle and travel speed scope.
Specifically, before step S201, road network topology structure is set up according to the alert data of pretreated electricity first, including
The information such as category of roads, link length, lane width, intersection channelizing situation, one-way road, forbidden, speed limit.Then will each it hand over
Prong point bit mapping obtains the shortest path distance between intersection by shortest path algorithm, built to going in road network topology structure
The distance matrix of grade separation prong.Intersection adjacency matrix DL is then set up, if two intersection a, b can pass through the direct phase in section
Connect, then adjacency matrix element assignment 1, i.e. DL (a, b)=1, otherwise DL (a, b)=0.
In step s 201, because the fluctuation of the vehicle flowrate within one day in section is larger, therefore during the stroke in section
Between in one day there is also fluctuation, the exceptional value of flat peak period may belong to the scope of normal value, therefore this hair in peak period
Bright embodiment sets a system time window Tw, such as by 22:00~06:00 TwIt is set to 30min, 06:00~22:00 Tw
It is set to 15min.Think that the travel time data in same system time window has identical pattern.By obtaining in system time window
The alert data of electricity determine the journey time in each section on trip route.
In step S202, the journey time filtering first to the section in system time window (takes average and median to add
Subtract the method that three times standard deviation is filtered twice) after, using unite time window in maximum and minimum value as each section row
Journey time upper lower limit value, then determines the journey time bound of walking along the street section according to the journey time upper lower limit value in each section
Value.Illustrated below with specific embodiment, it is assumed that the section number included on trip route s is n, with journey time attribute
Section number is n*, then the journey time upper lower limit value computational methods of trip route are as follows in following three kinds of situations：
1., there is journey time (n in all sections on trip route s*=n)
Assuming that the journey time higher limit in all sections is on trip route sLower limit isThen trip route s journey time higher limit meets following formula (1),
Wherein, TUFor trip route s journey time higher limit.
Trip route s journey time lower limit meets following formula (2)：
Wherein, TLFor trip route s journey time lower limit.
2. the destroked time (n of part way, on trip route s*＜ n)
Assuming that it is m to have journey time section number on trip route s, distance and for dm, its journey time higher limit isLower limit isThen trip route s journey time higher limit meets following formula (3)：
Wherein, TUFor trip route s journey time higher limit.
Trip route s journey time lower limit meets following formula (4)：
Wherein, TLFor trip route s journey time lower limit.
3., the destroked time (n in all sections on trip route s*=0)
Extract trip route s previous section apart from dbeforeIt is respectively with journey time upper lower limit valueWith
Trip route s latter section apart from dafterIt is respectively with journey time upper lower limit valueWithThen trip route s
Journey time higher limit meets following formula (5)：
Wherein, TUFor trip route s journey time higher limit.
Trip route s journey time lower limit meets following formula (6)：
Wherein, TLFor trip route s journey time lower limit.
In step S203, the travel speed model on trip route is calculated using the journey time upper lower limit value of trip route
Enclose.Travel speed scope is set as [vl, vu], then calculate travel speed higher limit vuWith travel speed lower limit vlMethod tool
Body is：
Travel speed higher limit vuMeet following formula (7)：
vu=1.15*d/TL…………………………………(7)
Wherein, vuFor travel speed higher limit, TLIt is regulation coefficient for trip route s journey time lower limit, 1.15,
Regulation coefficient is set primarily to prevention excessively to filter the travel speed bound interval caused less than normal.
Travel speed lower limit vlMeet following formula (8)：
vl=d/ (TU*1.15)…………………………………(8)
Wherein, vlFor travel speed lower limit, TUIt is regulation coefficient for trip route s journey time higher limit, 1.15.
In step S204, the trip route of vehicle is returned according to the travel speed of vehicle and travel speed scope
Class, is divided into following four situation：Travel speed scope is set as [vl, vu]。
The intersection of situation one, the travel speed of vehicle arbitrary neighborhood in traveling velocity interval and on the trip route of vehicle
When crossing is joined directly together, then the trip route of vehicle is normal.Illustrate：Vehicle m trip route is set as A → B → C → D,
Travel speed is v1If, vl＜ v1＜ vu, and DL (A, B)=1, DL (B, C)=1, DL (C, D)=1, then vehicle m trip route
Normally.
There is adjacent intersection in traveling velocity interval and on the trip route of vehicle in situation two, the travel speed of vehicle
When crossing is indirect connected, then there is intersection missing inspection in the trip route of vehicle.Illustrate：Setting vehicle n's goes out walking along the street
Footpath is A → B → D, and travel speed is v2If, vl＜ v2＜ vu, and DL (A, B)=1, DL (B, D)=0, then vehicle n go out walking along the street
There is intersection missing inspection in footpath between intersection B and intersection D.
When situation three, the travel speed of vehicle are less than the lower limit of travel speed scope, then the trip route of vehicle is present
Trip separation.Illustrate：Vehicle l trip route is set as D → D, travel speed is v3, running time is t, if v3=
0, t ＞ 540s, illustrate that vehicle l is stopped in intersection D, then intersection D is the separation of vehicle l trip route.In addition
Also include a kind of situation, set vehicle o trip route as A → B, travel speed is v4If, 0 ＜ v4＜ vl, illustrate that vehicle o exists
Stopped between intersection A and intersection B, then the going out as vehicle o using the section between intersection A and intersection B
The separation in walking along the street footpath.
When situation four, the travel speed of vehicle are more than the higher limit of travel speed scope, then the trip route of vehicle is abnormal.
Illustrate：Vehicle p trip route is set as A → B → C → D, travel speed is v5If, v5＞ vu, then vehicle p go out walking along the street
Footpath is abnormal.
After according to the above method, the trip route of vehicle is sorted out, determined according to the trip route of the vehicle after classification
Go out the traffic trip track of vehicle.The above-mentioned four kinds of situations of correspondence, the embodiment of the present invention provides the traffic trip of four kinds of determination vehicles
The method of track.
Method one, vehicle trip route it is normal when, using the trip route of vehicle as the traffic trip track of vehicle, than
Vehicle m trip route A → B → C → D is such as defined as vehicle m traffic trip track.
When method two, the trip route of vehicle have intersection missing inspection, car will be used as after the trip route completion of vehicle
Traffic trip track.Vehicle n traffic trip track is used as after being such as A → B → D completions using vehicle n trip route.
When method three, the trip route of vehicle have trip separation, according to position the going out vehicle of trip separation
Walking along the street footpath is separated, and regard the trip route of the vehicle after separation as the traffic trip track of vehicle.Such as with crossroad
Mouth D is that separation is separated to vehicle l trip route, and intersection D is the terminal of a vehicle l upper trip route,
Simultaneously be also vehicle l next trip route starting point, using the trip route of the vehicle l after separation as vehicle l traffic
Trip track.Again such as：Vehicle o trip route is separated with the section between intersection A and intersection B, handed over
The cross road mouthful A is the terminal of a vehicle o upper trip route, and intersection B is the starting point of vehicle o next trip route,
It regard the trip route of the vehicle o after separation as vehicle o traffic trip track.
In the embodiment of the present invention, according to the journey time in each section on the running time of vehicle, trip route by vehicle
Trip route is sorted out, and the trip route of vehicle is modified according to different classifications, and revised trip route is more
Closing to reality, therefore the precision of the traffic trip track of the vehicle determined according to revised trip route is higher.
When the trip route of vehicle has intersection missing inspection, how the trip route completion influence traffic of vehicle is gone out
The extraction accuracy of row track, the method that lower mask body introduces the trip route completion of vehicle, specifically includes following steps, such as Fig. 3
It is shown：
There is intersection missing inspection between intersection R1 and intersection R2 on step S301, the trip route of vehicle
When, enter walking along the street between the intersection R1 and the intersection R2 according to the point position data of the alert equipment of pretreated electricity
Footpath is matched.
, still there is intersection leakage between intersection R1 and intersection R2 after route matching is carried out in step S302
During inspection, determined according to the point position data of the pretreated alert equipment of electricity all feasible between intersection R1 and intersection R2
Path.
Step S303, according to path distance, section quantity, journey time be consistent degree, turn inside diameter number of times from it is described can
Walking along the street determines optimal path in footpath.
Step S304, completion is carried out to the trip route of the vehicle according to the optimal path, and by going out after completion
Walking along the street footpath is defined as the traffic trip track of the vehicle.
Specifically, in step S301, the detailed process of route matching is：Searched according to intersection R1 entrance driveway direction
Seek downstream road junction, it is assumed that intersection R1 entrance driveway direction is Bei Zhichedao, then downstream road junction is first, southern side crossing.Root
Search upstream crossing according to intersection R2 entrance driveway direction, it is assumed that intersection R2 entrance driveway direction is northing mouthful, then on
Trip crossing is the crossing of north side first.If intersection R1 downstream road junction and intersection R2 upstream crossing are not a friendships
, then still there is intersection missing inspection between intersection R1 and intersection R2 after explanation progress route matching in the cross road mouthful.If
Intersection R1 downstream road junction and intersection R2 upstream crossing are an intersections, then illustrate the trip route of vehicle
Completion.
In step s 302, still there is crossroad between intersection R1 and intersection R2 after route matching is carried out
During mouth missing inspection, using all feasible paths between preceding K bars shortest path algorithm search intersection R1 and intersection R2.Feasible
When path is more than 10, arranged according to path length, choose preceding 10 shortest paths storage into path set to be selected.
In step S303, it is first determined track decision index, track decision considers 4 indexs：Space situation of movement, road
Footpath pattern match degree, when away from the degree that is consistent, tortuous path degree, 4 attributes in vehicle driving track are correspond to respectively：Path
Distance, section quantity, journey time are consistent degree, turn inside diameter number of times, and the normalization function of design attributes value is as follows：
1st, shown in the normalization function of path distance such as formula (9)：
Wherein, LjFor scheme TiPath distance；M is scheme set.Path distance is longer, and functional value is lower, on the contrary then get over
Height, up to 1 is reached for most short path function value, if path distance all in path set to be selected is all identical, functional value
Also it is 1.
2nd, shown in the normalization function of section quantity such as formula (10)：
Wherein, NjFor scheme TiSection quantity；M is scheme set.Section quantity is more, and functional value is lower, on the contrary then get over
Height, up to 1 is reached for most short path function value, if path Road segment number all in path set to be selected is all identical,
Functional value is also 1.
3rd, journey time (speed) is consistent shown in the normalization function such as formula (11) of degree：
Wherein, TTjFor scheme TiJourney time；TT*For the actual journey time of adjacent record；M is scheme set.When
It is higher away from the higher functional value of the degree that is consistent, journey time of the journey time below or above adjacent record reality of route scheme
Functional value will be caused relatively low.When the journey time in all paths in path set to be selected is identical, functional value can also reach highest
For 1.
4th, shown in the normalization function of turn inside diameter number of times such as formula (12)：
Wherein, DjFor scheme TiTurn inside diameter number of times；M is scheme set.Turn inside diameter number of times is fewer, normalization function
Value is higher.For turning, minimum path function value reaches up to 1, if number of turns in path all in path set to be selected
All identical, functional value is also 1.
Then track program decisions is carried out, is specifically included：
1st, standardization decision matrix is set up, it is specific as shown in formula (13)：
2nd, weighted decision matrix is set up
Assuming that the decision weights of 4 attribute are (ω1,ω2,ω3,ω4), then shown in weighted decision matrix such as formula (14)：
3rd, plus-minus ideal solutions are determined, shown in positive ideal solution such as formula (15)：
Shown in minus ideal result such as formula (16)：
4th, decision-making coefficient is calculated
Forward and reverse distance is respectively as shown in formula (17) and formula (18), and decision-making coefficient such as formula (19) is shown：
The maximum path of decision-making coefficient in path set to be selected is defined as optimal path.
In step s 304, completion is carried out to the trip route of the vehicle according to the optimal path, and by after completion
Trip route be defined as the traffic trip track of the vehicle.The traffic trip track of vehicle can be stored into described in table 1
Letter represents the intersection that vehicle is passed through in form, table, and the information included under each letter has：Detection time, equipment point
Bit number, equipment point bit address, entrance driveway direction and lane information, longitude and latitude.
Table 1
In the embodiment of the present invention, at only one intersection of missing inspection, trip of the passage path matching process to vehicle
Path carries out completion, and when there are multiple intersection missing inspections, the trip route of vehicle is entered using track decision-making method
Row completion, not only increases the efficiency of trip route completion, while improving the precision of trip route completion.
In order to preferably explain the embodiment of the present invention, describe the embodiment of the present invention below by specific implement scene and provide
A kind of traffic trip track extraction method based on the alert data of electricity flow.
As shown in figure 4, this method comprises the following steps：
Step S401, obtains the point position data and the alert data of electricity of the alert equipment of electricity.
Step S402, the point position data and the alert data prediction of electricity of the alert equipment of electricity.
Step S403, the trip route of vehicle is extracted according to the point position data of the alert equipment of electricity and the alert data of electricity.
Step S404, returns according to the travel speed of vehicle and the journey time of trip route to the trip route of vehicle
Class.
Step S405, judges whether intersection missing inspection, if so, performing step S406, otherwise performs step S407.
Step S406, completion is carried out using route matching method or track decision-making method to trip route.
Step S407, the traffic trip track of vehicle is determined according to the classification of the trip route of vehicle.
The embodiment of the present invention shows, obtains the point position data and the alert data of electricity of the alert equipment of pretreated electricity, then basis
The point position data and the alert data of electricity of the alert equipment of pretreated electricity extract the trip route of vehicle, then according to the vehicle
Travel speed and the journey time of the trip route trip route of the vehicle is sorted out, the trip route
Journey time is determined according to the alert data of electricity, finally according to the vehicle after classification trip route determine it is described
The traffic trip track of vehicle.In the embodiment of the present invention, car is extracted based on the point position data of the alert equipment of electricity and the alert data of electricity
Traffic trip track, data source is single and sample size big, simplifies the extracting method of traffic trip track.Extracting in addition
After the trip route of vehicle, trip route is sorted out, different traffic trip rails are used according to different classes of trip route
Mark determines method, therefore obtained traffic trip track more meets actual trip scene, improves the extraction essence of traffic trip track
Degree.
Based on same idea, Fig. 5 it is exemplary show a kind of friendship based on the alert data of electricity provided in an embodiment of the present invention
The structure of pass-out row trajectory extraction device, the device can perform the stream of the traffic trip track extraction method based on the alert data of electricity
Journey.
As shown in figure 5, the device includes：
Acquisition module 501, point position data and the alert data of electricity for obtaining the alert equipment of pretreated electricity；
Processing module 502, car is extracted for the point position data and the alert data of electricity according to the pretreated alert equipment of electricity
Trip route；Walking along the street is gone out to the vehicle according to the travel speed of the vehicle and the journey time of the trip route
Footpath is sorted out, and the journey time of the trip route is determined according to the alert data of the electricity；According to the car after classification
Trip route determine the traffic trip track of the vehicle.
Alternatively, the processing module 502 specifically for：
The journey time in each section on the trip route is determined according to the pretreated alert data of electricity；
The journey time of the trip route is determined according to the journey time in each section on the trip route；
Travel speed scope of the vehicle on the trip route is determined according to the journey time of the trip route；
The trip route of the vehicle is sorted out according to the travel speed of the vehicle and the travel speed scope.
Alternatively, the processing module 502 specifically for：
The travel speed of vehicle arbitrary neighborhood in the range of the travel speed and on the trip route of the vehicle
Intersection when being joined directly together, determine that the trip route of the vehicle is normal；
The travel speed of the vehicle exists adjacent in the range of the travel speed and on the trip route of the vehicle
Intersection it is indirect connected when, determine that the trip route of the vehicle has intersection missing inspection；
When the travel speed of the vehicle is less than the lower limit of the travel speed scope, determine the vehicle goes out walking along the street
There is trip separation in footpath；
When the travel speed of the vehicle is more than the higher limit of the travel speed scope, determine the vehicle goes out walking along the street
Footpath is abnormal.
Alternatively, the processing module 502 specifically for：
When the trip route of the vehicle is normal, the trip route of the vehicle is defined as to the traffic trip of the vehicle
Track；
When the trip route of the vehicle has intersection missing inspection, by the trip route completion of the vehicle, and it will mend
The trip route of the vehicle after complete is defined as the traffic trip track of the vehicle；
When the trip route of the vehicle has trip separation, according to the position of the trip separation by the vehicle
Trip route separated, and the trip route of the vehicle after separation is defined as to the traffic trip rail of the vehicle
Mark；
When the trip route of the vehicle is abnormal, extract the trip route of the vehicle again, and according to extracting again
Trip route determines the traffic trip track of the vehicle.
Alternatively, the processing module 502 specifically for：
When there is intersection missing inspection between intersection R1 and intersection R2 on the trip route of the vehicle, according to
The point position data of the alert equipment of pretreated electricity carry out path between the intersection R1 and the intersection R2
Matching；
Still there is intersection leakage between the intersection R1 and the intersection R2 after route matching is carried out
During inspection, according to the point position data of the pretreated alert equipment of electricity determine the intersection R1 and intersection R2 it
Between all feasible path；
According to path distance, section quantity, journey time be consistent degree, turn inside diameter number of times from the feasible path really
Make optimal path；
Completion is carried out to the trip route of the vehicle according to the optimal path, and the trip route after completion is determined
For the traffic trip track of the vehicle.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method or computer program product.
Therefore, the present invention can be using the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Form.Deposited moreover, the present invention can use to can use in one or more computers for wherein including computer usable program code
The shape for the computer program product that storage media is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
, but those skilled in the art once know basic creation although preferred embodiments of the present invention have been described
Property concept, then can make other change and modification to these embodiments.So, appended claims are intended to be construed to include excellent
Select embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (10)
1. a kind of traffic trip track extraction method based on the alert data of electricity, it is characterised in that including：
Obtain the point position data and the alert data of electricity of the alert equipment of pretreated electricity；
The trip route of vehicle is extracted according to the point position data and the alert data of electricity of the pretreated alert equipment of electricity；
The trip route of the vehicle is returned according to the travel speed of the vehicle and the journey time of the trip route
Class, the journey time of the trip route is determined according to the alert data of the electricity；
The traffic trip track of the vehicle is determined according to the trip route of the vehicle after classification.
2. the method as described in claim 1, it is characterised in that the travel speed according to the vehicle and it is described go out walking along the street
The journey time in footpath is sorted out to the trip route of the vehicle, including：
The journey time in each section on the trip route is determined according to the pretreated alert data of electricity；
The journey time of the trip route is determined according to the journey time in each section on the trip route；
Travel speed scope of the vehicle on the trip route is determined according to the journey time of the trip route；
The trip route of the vehicle is sorted out according to the travel speed of the vehicle and the travel speed scope.
3. method as claimed in claim 2, it is characterised in that described according to the travel speed of the vehicle and traveling speed
Degree scope is sorted out the trip route of the vehicle, including：
The friendship of the travel speed of vehicle arbitrary neighborhood in the range of the travel speed and on the trip route of the vehicle
When cross road mouth is joined directly together, determine that the trip route of the vehicle is normal；
There is adjacent friendship in the range of the travel speed and on the trip route of the vehicle in the travel speed of the vehicle
When the cross road mouthful is indirect connected, determine that the trip route of the vehicle has intersection missing inspection；
When the travel speed of the vehicle is less than the lower limit of the travel speed scope, determine that the trip route of the vehicle is deposited
In trip separation；
When the travel speed of the vehicle is more than the higher limit of the travel speed scope, determine that the trip route of the vehicle is different
Often.
4. method as claimed in claim 3, it is characterised in that the trip route of the vehicle according to after classification is determined
Go out the traffic trip track of the vehicle, including：
When the trip route of the vehicle is normal, the trip route of the vehicle is defined as to the traffic trip rail of the vehicle
Mark；
When the trip route of the vehicle has intersection missing inspection, by the trip route completion of the vehicle, and by after completion
The trip route of the vehicle be defined as the traffic trip track of the vehicle；
When the trip route of the vehicle has trip separation, according to position the going out the vehicle of the trip separation
Walking along the street footpath is separated, and the trip route of the vehicle after separation is defined as to the traffic trip track of the vehicle；
When the trip route of the vehicle is abnormal, the trip route of the vehicle is extracted again, and according to the trip extracted again
Path determines the traffic trip track of the vehicle.
5. method as claimed in claim 4, it is characterised in that when the trip route of the vehicle has intersection missing inspection,
Go out by the trip route completion of the vehicle, and by the traffic that the trip route of the vehicle after completion is defined as the vehicle
Row track, including：
When there is intersection missing inspection between intersection R1 and intersection R2 on the trip route of the vehicle, according to described
The point position data of the pretreated alert equipment of electricity carry out route matching between the intersection R1 and the intersection R2；
When still there is intersection missing inspection between the intersection R1 and the intersection R2 after carrying out route matching,
Institute between the intersection R1 and the intersection R2 is determined according to the point position data of the pretreated alert equipment of electricity
Some feasible paths；
Determined according to be consistent degree, turn inside diameter number of times of path distance, section quantity, journey time from the feasible path
Optimal path；
Completion is carried out to the trip route of the vehicle according to the optimal path, and the trip route after completion is defined as institute
State the traffic trip track of vehicle.
6. a kind of traffic trip trajectory extraction device based on the alert data of electricity, it is characterised in that including：
Acquisition module, point position data and the alert data of electricity for obtaining the alert equipment of pretreated electricity；
Processing module, the trip of vehicle is extracted for the point position data and the alert data of electricity according to the pretreated alert equipment of electricity
Path；The trip route of the vehicle is returned according to the travel speed of the vehicle and the journey time of the trip route
Class, the journey time of the trip route is determined according to the alert data of the electricity；According to the trip of the vehicle after classification
Determine the traffic trip track of the vehicle in path.
7. device as claimed in claim 6, it is characterised in that the processing module specifically for：
The journey time in each section on the trip route is determined according to the pretreated alert data of electricity；
The journey time of the trip route is determined according to the journey time in each section on the trip route；
Travel speed scope of the vehicle on the trip route is determined according to the journey time of the trip route；
The trip route of the vehicle is sorted out according to the travel speed of the vehicle and the travel speed scope.
8. device as claimed in claim 7, it is characterised in that the processing module specifically for：
The friendship of the travel speed of vehicle arbitrary neighborhood in the range of the travel speed and on the trip route of the vehicle
When cross road mouth is joined directly together, determine that the trip route of the vehicle is normal；
There is adjacent friendship in the range of the travel speed and on the trip route of the vehicle in the travel speed of the vehicle
When the cross road mouthful is indirect connected, determine that the trip route of the vehicle has intersection missing inspection；
When the travel speed of the vehicle is less than the lower limit of the travel speed scope, determine that the trip route of the vehicle is deposited
In trip separation；
When the travel speed of the vehicle is more than the higher limit of the travel speed scope, determine that the trip route of the vehicle is different
Often.
9. device as claimed in claim 8, it is characterised in that the processing module specifically for：
When the trip route of the vehicle is normal, the trip route of the vehicle is defined as to the traffic trip rail of the vehicle
Mark；
When the trip route of the vehicle has intersection missing inspection, by the trip route completion of the vehicle, and by after completion
The trip route of the vehicle be defined as the traffic trip track of the vehicle；
When the trip route of the vehicle has trip separation, according to position the going out the vehicle of the trip separation
Walking along the street footpath is separated, and the trip route of the vehicle after separation is defined as to the traffic trip track of the vehicle；
When the trip route of the vehicle is abnormal, the trip route of the vehicle is extracted again, and according to the trip extracted again
Path determines the traffic trip track of the vehicle.
10. device as claimed in claim 9, it is characterised in that the processing module specifically for：
When there is intersection missing inspection between intersection R1 and intersection R2 on the trip route of the vehicle, according to described
The point position data of the pretreated alert equipment of electricity carry out route matching between the intersection R1 and the intersection R2；
When still there is intersection missing inspection between the intersection R1 and the intersection R2 after carrying out route matching,
Institute between the intersection R1 and the intersection R2 is determined according to the point position data of the pretreated alert equipment of electricity
Some feasible paths；
Determined according to be consistent degree, turn inside diameter number of times of path distance, section quantity, journey time from the feasible path
Optimal path；
Completion is carried out to the trip route of the vehicle according to the optimal path, and the trip route after completion is defined as institute
State the traffic trip track of vehicle.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107591003A (en) * | 2017-10-26 | 2018-01-16 | 江苏智通交通科技有限公司 | City road network dissipation capability extracting method based on vehicle identification data |
| CN107885795A (en) * | 2017-10-24 | 2018-04-06 | 广东方纬科技有限公司 | A kind of data verification method, system and the device of bayonet socket data |
| CN108681717A (en) * | 2018-05-18 | 2018-10-19 | 贵州云腾志远科技发展有限公司 | City-level traffic video detection equipment quality detection method |
| CN109087508A (en) * | 2018-08-30 | 2018-12-25 | 广州市市政工程设计研究总院有限公司 | Contiguous zone traffic analysis method and system based on high definition bayonet data |
| CN109584553A (en) * | 2018-11-29 | 2019-04-05 | 中电海康集团有限公司 | A kind of section degree of association missing complementing method based on space time information |
| CN110276950A (en) * | 2019-06-24 | 2019-09-24 | 华南理工大学 | A kind of urban transportation Trip chain reconstructing method based on bayonet video data |
| CN110362557A (en) * | 2019-05-27 | 2019-10-22 | 华南理工大学 | A kind of miss path restorative procedure based on machine learning and license plate identification data |
| CN110516935A (en) * | 2019-08-13 | 2019-11-29 | 北京航空航天大学 | A kind of unmanned transportation system's right of way cloud smart allocation method of mine car based on end edge cloud framework |
| CN110634289A (en) * | 2019-09-04 | 2019-12-31 | 南京洛普股份有限公司 | Urban road traffic optimal path online planning method based on electric police data |
| CN111047860A (en) * | 2019-12-02 | 2020-04-21 | 安徽百诚慧通科技有限公司 | Vehicle running track extraction method |
| CN111314857A (en) * | 2020-02-13 | 2020-06-19 | 青岛海信网络科技股份有限公司 | Vehicle real-time travel track acquisition method based on vehicle passing video data |
| CN113538902A (en) * | 2021-06-17 | 2021-10-22 | 北京工业大学 | Intersection vehicle track data restoration method based on traffic state |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003006439A (en) * | 2001-06-26 | 2003-01-10 | Toshiba Corp | Method and system for damage insurance data acquisition, program for damage insurance data, and program for providing damage insurance data |
| CN102205814A (en) * | 2010-03-29 | 2011-10-05 | 鸿富锦精密工业（深圳）有限公司 | Intelligent riding information management system and method |
| CN102708686A (en) * | 2012-05-30 | 2012-10-03 | 东南大学 | Travel origin-destination and path recognizing method for motor vehicle on urban road |
| CN105225494A (en) * | 2015-11-03 | 2016-01-06 | 中兴软创科技股份有限公司 | Based on the Vehicle tracing method and apparatus of electronic police data |
| CN105606110A (en) * | 2015-11-03 | 2016-05-25 | 中兴软创科技股份有限公司 | Depth-first traversal-based feasible path searching method and device |
| CN106023589A (en) * | 2016-06-16 | 2016-10-12 | 北京航空航天大学 | Gate data-based vehicle trajectory reconstruction method |
-
2017
- 2017-06-08 CN CN201710428942.3A patent/CN107195180B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003006439A (en) * | 2001-06-26 | 2003-01-10 | Toshiba Corp | Method and system for damage insurance data acquisition, program for damage insurance data, and program for providing damage insurance data |
| CN102205814A (en) * | 2010-03-29 | 2011-10-05 | 鸿富锦精密工业（深圳）有限公司 | Intelligent riding information management system and method |
| CN102708686A (en) * | 2012-05-30 | 2012-10-03 | 东南大学 | Travel origin-destination and path recognizing method for motor vehicle on urban road |
| CN105225494A (en) * | 2015-11-03 | 2016-01-06 | 中兴软创科技股份有限公司 | Based on the Vehicle tracing method and apparatus of electronic police data |
| CN105606110A (en) * | 2015-11-03 | 2016-05-25 | 中兴软创科技股份有限公司 | Depth-first traversal-based feasible path searching method and device |
| CN106023589A (en) * | 2016-06-16 | 2016-10-12 | 北京航空航天大学 | Gate data-based vehicle trajectory reconstruction method |
Non-Patent Citations (1)
| Title |
|---|
| 杨帅 等: "基于卡口数据的车辆出行轨迹重构方法研究", 《第十一届中国智能交通年会大会论文集》 * |
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